Evidence map›Paper›PMID 40887469›Full record

ArticleScientific reports2025

T lymphocyte subsets and mitochondrial index predict outcomes in advanced non small cell lung cancer therapy.

Zhengming Huang, Chiqing Ying, Dan Zhu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Zhengming Huang *Department of Respiration, Jinhua Municipal Central Hospital, Jinhua, 321000, China.
Chiqing Ying *Department of Respiration, Jinhua Municipal Central Hospital, Jinhua, 321000, China.
Dan ZhuDepartment of Respiration, Jinhua Municipal Central Hospital, Jinhua, 321000, China. zhudan4252@sina.com.

Funding

Jinhua public welfare Technology Application Research Project No. 2022-4-107
6 · The paper itself

Abstract

Currently, accessible objective indicators for predicting the prognosis and treatment outcomes of non-small cell lung cancer (NSCLC) are lacking. This study investigates the potential of T lymphocyte subsets and mitochondrial biomarkers as predictors of metastasis and evaluators of therapy response in advanced NSCLC. We analyzed clinical data from 24 advanced NSCLC patients, including T-cell counts and mitochondrial mass (MM)/membrane potential (MMP) measurements. Group comparisons used parametric t-tests and non-parametric Mann-Whitney U tests, with False Discovery Rate (FDR) correction for multiple comparisons. Predictive performance was evaluated via receiver operating characteristic (ROC) curves (area under curve, AUC). CD8 + T cells with low mitochondrial membrane potential (MMP-Low) and CD8 + T-cell mitochondrial mass (MM) showed promising potential in predicting metastasis (AUC = 0.85 and 0.87). Three T-cell biomarkers correlated with therapeutic outcomes (p < 0.05): PD-1 + CD8 + T-cell percentage, MMP-Low CD8 + T-cell proportion, CD8 + T-cell MM levels. Our exploratory findings suggest that T lymphocyte subsets and mitochondrial indices show potential as biomarkers to evaluate therapy response and predict metastasis risk in advanced NSCLC, which may facilitate individualized treatment and timely regimen adjustment for patients pending further validation.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsMitochondriaT-Lymphocyte SubsetsAdultAgedBiomarkers, TumorCD8-Positive T-LymphocytesFemaleHumansMaleMembrane Potential, MitochondrialMiddle AgedPrognosisROC CurveTreatment OutcomeBiomarkers, TumorMitochondrial massNon-Small cell lung cancerPrognosisT lymphocyteTreatment effect

Identifiers

PMID40887469
PMCPMC12399744

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.